109 Gpm Jobs

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.Keywordsnatural language processing,machine learning,deep learning,machine learning algorithms,tensorflow,keras,artificial intelligence,Data Science Mandatory Key Skills natural language processing,machine learning,deep learning,machine learning algorithms,tensorflow,keras,artificial intelligence,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,BERT,GPT,LSTMs,machine learning,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,machine learning,deep learning,text analytics,machine learning algorithms,information extraction,tensorflow,keras,artificial intelligence,Data Science*

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,machine learning,deep learning,text analytics,sentiment analysis,machine learning algorithms,algorithms,information extraction,BERT,GPT,LSTM,NLP*

Product Manager for marketing of acute/ Cardiac Diabetic products. Will be required to promote products in Anglo African countries, will be based at Mumbai If interested, plz call: 7742408300/7742408200/ & mail resume at: lksaddiassociate@yahoo.co.in Required Candidate profile Preferably candidate should have exposure in Cardiac / Diabetic / Acute range of products. Should be prepared to travel out of India. Our client is well established in India & International market. Perks and benefits Salary will not be constraint for right candidate.

Notice Period: - 30-60 Days Project Overview: We are seeking a seasoned AI Architect with strong experience in Generative AI and Large Language Models (LLMs)including OpenAI, Claude, and Geminito lead the design, orchestration, and deployment of intelligent solutions across complex use cases. You will architect conversational systems, feedback loops, and LLM pipelines with robust data governance, leveraging the Databricks platform and Unity Catalog for enterprise-scale scalability, lineage, and compliance. Role Scope / Deliverables: Architect end-to-end LLM solutions for chatbot applications, semantic search, summarization, and domain-specific assistants. Design modular, scalable LLM workflows including prompt orchestration, RAG (retrieval-augmented generation), vector store integration, and real-time inference pipelines. Leverage Databricks Unity Catalog for:o Centralized governance of AI training and inference datasetso Managing metadata, lineage, access controls, and audit trailso Cataloging feature tables, vector embeddings, and model artifacts Collaborate with data engineers and platform teams to ingest, transform, and catalog datasets used for fine-tuning and prompt optimization. Integrate feedback loop systems (e.g., user input, signal-driven reinforcement, RLHF) to continuously refine LLM performance. Optimize model performance, latency, and cost using a combination of fine-tuning, prompt engineering, model selection, and token usage management. Oversee secure deployment of models in production, including access control, auditability, and compliance alignment via Unity Catalog. Guide teams on data quality, discoverability, and responsible AI practices in LLM usage. Key Skills: 7+ years in AI/ML solution architecture, with 2+ years focused on LLMs and Generative AI. Strong experience working with OpenAI (GPT-4/o), Claude, Gemini, and integrating LLM APIs into enterprise systems. Proficiency in Databricks, including Unity Catalog, Delta Lake, MLflow, and cluster orchestration. Deep understanding of data governance, metadata management, and data lineage in large-scale environments. Hands-on experience with chatbot frameworks, LLM orchestration tools (LangChain, LlamaIndex), and vector databases (e.g., FAISS, Weaviate, Pinecone). Strong Python development skills, including notebooks, REST APIs, and LLM orchestration pipelines. Ability to map business problems to AI solutions, with strong architectural thinking and stakeholder communication. Familiarity with feedback loops and continuous learning patterns (e.g., RLHF, user scoring, prompt iteration). Experience deploying models in cloud-native and hybrid environments (AWS, Azure, or GCP). Preferred Qualifications: Experience fine-tuning or optimizing open-source LLMs (e.g., LLaMA, Mistral) with tools like LoRA/QLoRA. Knowledge of compliance requirements (HIPAA, GDPR, SOC2) in AI systems. Prior work building secure, governed LLM applications in highly regulated industries. Background in data cataloging, enterprise metadata management, or ML model registries.

Role Overview: As a Quality Work Manager at Hitachi Energy, you will be responsible for developing, identifying, analyzing, and improving existing general business processes. Your role will involve applying process definition, improvement, and design methodologies to enhance quality, reduce costs, increase efficiencies, and improve customer satisfaction. You will lead a team of professionals and para-professional employees, setting goals, and ensuring operational results are achieved. Additionally, you will be involved in planning, implementing quality assurance and compliance processes. Your contribution to the HVDC Q&CI Culture & strategy will be crucial in driving the quality initiatives within the organization. Key Responsibilities: - Lead and coach the local QR team in line with HR processes, plan, budget, and strategy - Ensure compliance with HVDC instructions and guidelines for site quality processes - Contribute to the development of the department and drive initiatives within your area - Define and communicate with local stakeholders, plan staff and budget requirements - Manage recruiting, onboarding, offboarding, and salary discussions for team members - Ensure continuous competence management for staff and perform GPM according to process - Clarify roles, responsibilities, requirements, and authorities within the team - Monitor Q&CI reporting and ensure timely action on deviations - Follow up on site performance and ensure compliance with regulations and guidelines - Uphold Hitachi Energy's core values of safety and integrity Qualifications Required: - Bachelor's degree in Electrical & Mechanical Engineering (BE / B.Tech) with 10 to 15 years of experience - Background in Project Management for complex projects & Substation (EPC) - Proficiency in both spoken & written English language (Note: Any additional details of the company were not included in the provided job description),

About SKF started its operations in India in 1923. Today, SKF provides industry-leading automotive and industrial engineered solutions through its five technology-centric platforms: bearings and units, seals, mechatronics, lubrication solutions, and services. Over the years, the company has evolved from being a pioneer ball bearing manufacturing company to a knowledge-driven engineering company helping customers achieve sustainable and competitive business excellence. SKF's solutions provide sustainable ways for companies across the automotive and industrial sectors to achieve breakthroughs in friction reduction, energy efficiency, and equipment longevity and reliability. With a strong commitment to research-based innovation, SKF India offers customized value-added solutions that integrate all its five technology platforms. SKF has a pan India footprint consisting of 4 manufacturing facilities, 7 Distribution Centers, a supplier network of over 450, and an employee base of about 300 dedicated professionals. To support the manufacturing strategy, SKF focuses on developing and implementing new technology to increase reliability and flexibility, reduce costs, and improve environmental performance. SKF Purpose Statement: Together, we re-imagine rotation for a better tomorrow by creating intelligent and clean solutions for people and the planet. Job Description: Position Title: Project Management- NPD & Expansion project Reports To: MFG Engg. Manager - TRB, Roller & HUB Location: Pune Manufacturing Plant Purpose of the role: Responsible for managing a nominated project focused on new product development for OME, with a primary responsibility for product industrialization. Additionally, serve as the project manager for an expansion project, aiming to achieve project objectives by preparing work packages and adhering to GPM methodology. Responsibilities: New Product Development: - Define and own the stage-gate process and chart out possible risks; work with teams to ensure risks are identified and addressed at different stages of the design and the process is fool-proof to ensure the highest quality standards with effective/optimum resource utilization (like Tooling Design & development, Component procurement, etc.) - Proactively interact with the PMO and provide expert opinion on stated problems/concerns and work with them to co-create solutions - Guide teams in understanding, analyzing, and translating customer specifications into problem statements to help facilitate design and development - Own the project execution to ensure alignment with customer requirements; review critical projects at various stages of development to ensure customer expectations as well as timelines are being met as per the plan Project Management for expansion project: - Define project scope, goals, and deliverables that support business objectives. - Develop detailed project plans, schedules, and budgets. - Coordinate internal resources and third parties/vendors for flawless execution. - Monitor and track project progress and performance. - Identify and manage project risks and issues. - Communicate project updates to stakeholders, including status reports and risk mitigation strategies. - Ensure resource availability and allocation. - Conduct project evaluations and assessment of results. - Foster a collaborative team environment and promote best practices. Competencies: - Sound Knowledge of APQP process. - Knowledge of GPM. - Good Understanding of Process Flow diagrams, PFEA, Control Plan, and MSA. - Machine Qualification Technique, FAT, and SAT. - Learning Agility, problem-solving mindset. - Effective team player Candidate Profile: Education: Bachelor's degree in business, Management, Engineering, or a related field. Experience: 5+ years of project management experience (PMP or equivalent certification is a plus). Strong understanding of project management tools and software (e.g., MS Project, Asana, Jira, Trello). Excellent communication, organizational, and leadership skills. Ability to manage multiple projects simultaneously and work under pressure. Strong analytical and problem-solving abilities. If interested, please share your updated profile to supriya.joshi@skf.com SKF has been around for more than a century and today we are one of the world's largest global suppliers of bearings and supporting solutions for rotating equipment. With more than 40,000 employees in around 130 countries, we are truly global. Our products are found everywhere in society. In fact, wherever there is movement, SKF's solutions might be at work. This means that we are an important part of the everyday lives of people and companies around the world. See more at www.skf.com.,

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :A Gen AI Agentic role focuses on developing and implementing intelligent systems that can autonomously perform tasks, solve problems, and make decisions with minimal human intervention. These roles require expertise in both Generative AI (content creation) and Agentic AI (action-oriented, autonomous systems). A key aspect is the ability to design, develop, and deploy these advanced AI solutions, often leveraging large language models and other generative techniques. Roles & Responsibilities:- Developing and Implementing AI Solutions:Designing, building, and deploying end-to-end Gen AI solutions, including the integration of LLMs and LangChain into business processes. Designing Agentic Systems:Constructing agentic systems using techniques like multi-agent systems, reinforcement learning, dynamic workflows, and concurrent orchestration.- Leading Innovation:Driving the development of intelligent autonomous agents for complex tasks and multimodal interactions.- Strategic Planning:Developing strategic plans to achieve goals, anticipate future states, and consider potential obstacles.- Collaboration and Communication:Collaborating with stakeholders, presenting findings, and providing strategic recommendations.- Staying Current:Remaining up-to-date on technical and industry developments to ensure effective and advanced applications of AI.- AI Governance and Security:Implementing AI safety measures, ensuring compliance with regulations, and securing AI agents against various attacks.- Ethical Considerations:Ensuring that AI technologies are developed and deployed with ethical considerations in mind. Professional & Technical Skills: - Strong programming skills (Python, Java, or R), expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn), experience with LLMs and NLP (Hugging Face, OpenAI API, BERT, GPT, Claude), proficiency in multi-agent frameworks (LangChain, CrewAI, AutoGen), knowledge of reinforcement learning, and experience with vector databases and knowledge graphs.- Soft Skills: Strong analytical and problem-solving skills, ability to work in a fast-paced, cross-functional team, excellent communication and documentation skills.- Experience:Experience in end-to-end project delivery, especially agile methodologies, and experience with autonomous systems, robotics, or digital twins is often preferred. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- Education:A bachelors degree in computer science, Mathematics, Engineering, Statistics, or a related field is typically required. In essence, a Gen AI Agentic role involves bridging the gap between cutting-edge AI research and practical, real-world applications, enabling organizations to leverage the power of intelligent, autonomous systems to achieve their business objectives. Qualification 15 years full time education

The Team Our team is on an exciting journey to build Kensho SparkAssist, S&P Globals internal conversational AI platform, designed to support colleagues across all departments. We work collaboratively with internal and external partners, using data-driven decisions and continuous improvement to create value. Forward-thinking in nature, we leverage modern generative AI models and cloud services. Our focus is on the creation of scalable systems over customized solutions, all while prioritizing the needs of our stakeholders. Whats in it for you: Build a rewarding career with a leading global company in an international team. Develop relevant solutions that enhance efficiency and drive innovation across S&P Global's diverse departments. Enhance your skills by engaging with enterprise-level products and cutting-edge genAI technologies. Work alongside experts in AI and technology, gaining insights and experience that will propel your career forward. Responsibilities: Develop clean, high-quality Python code that is easy to read and maintain. Solve complex problems by analyzing and isolating issues efficiently. Champion best practices in coding and serve as a subject matter expert. Design and implement solutions to support key business needs. Engineer components and common services using Python. Produce system design documents and lead technical walkthroughs. Collaborate effectively with both technical and non-technical partners to achieve project goals. Continuously improve the architecture to enhance system performance and scalability. Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement Basic Qualifications: 5+ years of experience in designing and building solutions using distributed computing. Proven experience in implementing and maintaining web applications in large-scale environments. Experience working with business stakeholders and users, providing research direction and solution design. Experience with CI/CD pipelines to automate the deployment and testing of software. Proficient programming skills in high-level languages, particularly Python. Solid knowledge of cloud platforms such as Azure and AWS. Experience with SQL and NoSQL such as Azure Cosmos DB and PostgreSQL Ability to quickly define and prototype solutions with continual iteration within challenging timelines. Strong communication and documentation skills for both technical and non-technical audiences. Generative AI Expertise: Deep understanding of generative AI models, including experience with large language models (LLMs) such as GPT, BERT, and Transformer architectures. Embedding Techniques: Proficiency in creating and utilizing embeddings for various applications, including semantic search and recommendation systems. Vector Search and Retrieval: Familiarity with vector search techniques and embedding models for efficient data retrieval and analysis. Preferred Qualifications: Machine Learning and NLP: Experience with machine learning models and natural language processing techniques to enhance AI-driven solutions. Cloud Platforms: Knowledge of cloud services such as AWS, Azure, or Google Cloud for deploying and managing AI solutions. Collaboration and Leadership: Ability to lead, train, and mentor team members effectively. Proven experience of working with Kensho SparkAssist for your daily workflows as well as being a Owner or Co-Owner Working on inner-source and open-source AI projects and libraries.

About The Role Management Level :07 - Manager Location :Gurgaon/Bangalore/Mumbai Must have skills :Python Programming, Machine Learning, Generative AI (GPT, DALLE, GANs), Model Deployment, Cloud (AWS/Azure/GCP), Statistical Analysis, Data Science, API Development, Docker/Kubernetes Good to have skills :PyTorch, TensorFlow, NLP, Computer Vision, Performance Optimization, Ethical AI Practices, Cloud Integrations, Open-Source Contributions Job Summary : Accenture AI is seeking a talented and motivated Generative AI Data Scientist Lead to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis and Cloud Platforms to drive and lead the development & delivery of the innovative solutions and enhance our AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs. Roles & Responsibilities: Independent Project Leadership :Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision. Pod Leadership :Lead and mentor a small development pod (team) of data scientists and engineers, ensuring collaboration, innovation, and timely delivery of high-quality solutions. Model Development :Design, develop, and deploy state-of-the-art generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for applications such as text generation, image synthesis, content creation, and more. Strategy Development :Provide strategic recommendations to clients on how to integrate generative AI into their workflows and business processes. Ethical AI Practices :Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations. Performance Evaluation :Develop evaluation metrics and methodologies to assess the performance of generative models and ensure they meet quality standards. Collaboration :Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions. Research and Innovation :Stay up-to-date with the latest advancements in generative AI and machine learning, applying that knowledge to improve existing models and techniques. Mentorship :Guide and mentor junior team members, fostering a culture of innovation and continuous learning. Professional & Technical Skills: 6+ years of experience in Data Science , Machine Learning , or related fields with a focus on Generative AI models (LLMs) . Expert proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow , PyTorch ). Hands-on experience with cloud platforms (AWS, GCP, Azure), including deployment and solution building . Ability to work with Docker , Kubernetes , and API Development to deploy generative AI models. Strong analytical, problem-solving , and critical thinking skills. Expertise in ethical AI practices and understanding of the biases and regulations surrounding Generative AI . Excellent verbal and written communication skills, with the ability to clearly convey complex concepts to diverse audiences. Additional Information: Experience with large-scale data processing and cloud computing platforms. Familiarity with NLP , computer vision , and other AI applications. Publications or contributions to open-source AI/ML projects . Experience in cloud integrations and performance optimization . Strong leadership skills with experience in guiding teams and managing AI projects. About Our Company | Accenture Qualification Experience :Minimum 6+ years of experience in Data Science, Machine Learning, or a related field with a focus on Generative AI models (LLMs) and leadership in AI solutions. Educational Qualification :Masters or Ph.D. in Computer Science , Data Science , Statistics , or related field.

The Team Our team is on an exciting journey to build Kensho Spark Assist, S&P Globals internal conversational AI platform, designed to support colleagues across all departments. We work collaboratively with internal and external partners, using data-driven decisions and continuous improvement to create value. Forward-thinking in nature, we leverage modern generative AI models and cloud services. Our focus is on the creation of scalable systems over customized solutions, all while prioritizing the needs of our stakeholders. What You Stand to Gain: Build a rewarding career with a leading global company in an international team. Develop relevant solutions that enhance efficiency and drive innovation across S&P Global's diverse departments. Enhance your skills by engaging with enterprise-level products and cutting-edge genAI technologies. Work alongside experts in AI and technology, gaining insights and experience that will propel your career forward. Responsibilities: Develop clean, high-quality Python code that is easy to read and maintain. Solve complex problems by analyzing and isolating issues efficiently. Champion best practices in coding and serve as a subject matter expert. Design and implement solutions to support key business needs. Engineer components and API functions using Python. Produce system design documents and lead technical walkthroughs. Collaborate effectively with both technical and non-technical partners to achieve project goals. Continuously improve the architecture to enhance system performance and scalability. Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement. Basic Qualifications: 8+ years of experience in designing and building solutions using distributed computing. Proven experience in implementing and maintaining web applications in large-scale environments. Experience working with business stakeholders and users, providing research direction and solution design. Experience with CI/CD pipelines to automate the deployment and testing of software. Proficient programming skills in high-level languages, particularly Python. Solid knowledge of cloud platforms such as Azure and AWS. Experience with SQL and NoSQL such as Azure Cosmos DB and PostgreSQL Ability to quickly define and prototype solutions with continual iteration within challenging timelines. Strong communication and documentation skills for both technical and non-technical audiences. Preferred Qualifications: Generative AI Expertise: Deep understanding of generative AI models, including experience with large language models (LLMs) such as GPT, BERT, and Transformer architectures. Embedding Techniques: Proficiency in creating and utilizing embeddings for various applications, including semantic search and recommendation systems. Machine Learning and NLP: Experience with machine learning models and natural language processing techniques to enhance AI-driven solutions. Vector Search and Retrieval: Familiarity with vector search techniques and embedding models for efficient data retrieval and analysis. Cloud Platforms: Knowledge of cloud services such as AWS, Azure, or Google Cloud for deploying and managing AI solutions. Collaboration and Leadership: Ability to lead, train, and mentor team members effectively.

Summary The Senior Software Engineering role within the Advanced Technology Organization (ATO) will focus on software development for AI/ML research and innovation projects. This position will utilize standard development methodologies, best practices, tools and proven processes to lead teams to deliver a quality software proof of concept on budget, within planned schedule. The position is responsible for driving the design and development efforts related to architecture, scalability, availability and performance in alignment with the innovation roadmap Roles and Responsibilities Subject matter expert in AI/ML methodologies & MLOps using Azure/AWS for Grid Control systems with a proven track record. Design, build, and deploy machine learning models for regression, classification, and other predictive analytics tasks using Python. Work on the development, fine-tuning, and deployment of large language models for various NLP tasks such as text classification and language understanding. Clean, preprocess, and transform data to make it suitable for machine learning models, including handling missing data, feature selection, and data augmentation. Evaluate models using appropriate metrics and fine-tune them for better accuracy, performance, and scalability. Collaborate with cross-functional teams including power system engineers, software engineers, and business stakeholders to understand requirements and deliver AI-driven solutions. Experience in agile methodologies such as SCRUM. Work with internal teams and customers to understand requirements & vision. Drive increased efficiency across the teams, eliminating duplication, leveraging product and technology reuse. Navigate through ambiguity and prioritizing conflicting asks & tasks. Expert level skills in design, architecture, and development, with an ability to take a deep dive in the implementation aspects if the situation demands. Be an expert in core data structures as well as algorithms and the ability to implement them. Education Qualification For roles outside USA: Masters degree in Computer Science/Data Analytics or STEM Majors (Science, Technology, Engineering and Math) with minimum 5 years of experience Desired CharacteristicsTechnical Expertise: Quantifies effectiveness of design choices by gathering data. Drives accountability and adoption. Publishes guidance and documentation to promote adoption of design. Knowledgeable about AI/ML and MLOps development for the electric utility industry. Proven experience in developing and deploying machine learning models, specifically in regression and classification tasks. Experience working with large language models (LLMs) like GPT, BERT, et Proficient in Python and its machine learning libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy. Strong understanding of regression techniques and classification algorithms . Hands-on experience in implementing and deploying ML models using MLOps practices. Experience with natural language processing (NLP) techniques and tools for working with large language models . Leadership: Influences through others; builds direct and "behind the scenes" support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome. Uses experts or other third parties to influence. Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making. Understands when change is needed. Participates in technical strategy planning. Proactively identifies and removes project obstacles or barriers on behalf of the team. Able to navigate accountability in a matrixed organization.Communicates and demonstrates a shared sense of purpose. Learns from failure. Personal Attributes: Able to effectively direct and mentor others in critical thinking skills. Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices. Finds important patterns in seemingly unrelated information. Influences and energizes other toward the common vision and goal. Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable. Innovates and integrates new processes and/or technology to significantly add value to GE. Identifies how the cost of change weighs against the benefits and advises accordingly.

Your Role Develop and deploy Generative AI models using Azure OpenAI (GPT, Codex, DALLE). Implement RAG pipelines using Azure AI Search and vector databases. Design and validate solution architectures for LLM-based applications. Build APIs and microservices to integrate AI models into business workflows. Use tools like LangChain, Semantic Kernel, or similar for orchestration. Monitor and optimize model performance, latency, and cost. Collaborate with data scientists, software engineers, and product teams. Ensure compliance with data privacy, security, and responsible AI guidelines. Your Profile Strong experience with Azure cloud services (Azure OpenAI, Azure Functions, Azure AI Search). Proficiency in Python and frameworks like LangChain or Semantic Kernel. Experience with MLOps tools (e.g., MLflow, Azure ML). Familiarity with LLMs (GPT, LLaMA, Claude) and GenAI concepts. Knowledge of vector databases (e.g., FAISS, Pinecone, Azure Cosmos DB). Understanding of NLP, prompt engineering, and model fine-tuning. Experience with containerization (Docker) and CI/CD pipelines. What you"ll love about working here Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.

Profile - Product Manager (General Segment) Anglo African Region CTC - Upto 30% hike on current CTC Location - Mumbai Experience - 6+ Years Key Responsibilities : 1. Portfolio Management: • Manage the complete product portfolio, aligning with business goals and regional market demands. • Continuously assess market needs, monitor product performance, and refine strategies to maximize profitability. 2. New Product Launches: • Lead the end-to-end process of new product launches in the segment. • Collaborate with R&D, sales, and medical affairs to ensure successful product introductions. • Design impactful marketing campaigns to drive product adoption and awareness. 3. Brand Strategy & Market Positioning: • Develop and execute robust brand strategies to differentiate products in a competitive landscape. • Ensure consistent and effective brand messaging across all communication channels. 4. Market Share & Sales Growth: • Formulate short- and long-term product plans to achieve market growth targets. • Monitor sales data and market trends to adjust strategies and optimize product performance. 5. Creative Communication & In-Clinic Campaigns: • Design creative communication strategies targeting healthcare professionals and patients. • Lead the development of in-clinic campaigns to enhance product visibility and educate healthcare providers. 6. Competitor Analysis & Market Intelligence: • Conduct regular competitor analysis using IMS data and other market intelligence tools. • Identify market opportunities and threats to maintain a competitive edge. 7. Marketing Plan Development & Execution: • Collaborate with internal stakeholders to create and execute annual marketing plans. • Manage budgets efficiently, ensuring maximum ROI for marketing initiatives. 8. Cross-Functional Collaboration: • Work closely with sales, regulatory, medical, and other teams to drive product success. • Provide training and support to sales teams, ensuring strong product knowledge and market insights. 9. Budget & Resource Management: • Manage the product marketing budget, ensuring cost-effective allocation of resources. • Track marketing spend and evaluate campaign effectiveness to meet financial objectives. If interested or if you know someone who might be, please reach out to Contact- 9589659889 Email - nmscareer37@gmail.com Thank you! Assistant Manager Naina Rajawat

Role Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative Data Science and Engineering team. Reporting to the Data Science Director, you will play a critical role in building and scaling machine learning systems that power our cybersecurity products. You will work closely with data scientists and software engineers to design, develop, and deploy end-to-end ML pipelines, ensuring high performance and reliability in production. Your engineering expertise will directly contribute to solving complex challenges in areas such as threat detection, malware analysis, anomaly detection, and automated model workflows. About the role: As a Senior Machine Learning Engineer, you will be part of a high-impact team reporting to the Director of Data Science, focused on developing scalable, production-grade machine learning solutions to power cybersecurity products. Collaborate with data scientists and engineering teams to build and scale machine learning pipelines. Develop and deploy production-ready ML systems for use cases such as:Threat and attack detection,Threat hunting,Malware detection,Anomaly detection Build and optimize distributed data pipelines using Apache Spark and Python. Design and implement MLOps workflows including data preprocessing, model training, evaluation, and deployment. Monitor and retrain ML models based on feedback and performance in production. Develop model serving infrastructure for high availability, low latency, and scalability. Automate and streamline feature engineering, hyperparameter tuning, and CI/CD pipelines for ML models. Ensure model integration into security products with adherence to compliance and data governance standards. About you: You are an experienced ML Engineer with a strong foundation in software engineering and a passion for solving complex problems in the cybersecurity domain. Must-Have Qualifications: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, with Mathematics/Statistics at undergraduate level 4-6 years of industry experience as a Machine Learning Engineer Advanced proficiency in Python and strong programming fundamentals Hands-on experience with Apache Spark or PySpark for distributed data processing Solid understanding of machine learning concepts and experience with ML libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch. Experience in building, deploying, and monitoring end-to-end ML systems in production Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker Pipelines). Proficiency in SQL and handling large-scale data Experience working with public cloud platforms (AWS, GCP, or Azure). Strong software engineering practices: Git, containerisation (Docker), testing, CI/CD Good to Have: Knowledge of Large Language Models (LLMs) such as GPT, BERT, LLaMA, or Falcon. Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)

Major Purpose of the Job : (Exactly spell out key deliveries/results expected from this job): The jobholder shall be responsible for preparation of marketing mix, design and implementation of successful marketing strategies, scanning of market for identification & expansion into various therapies, identification of potential candidates whilst maximizing current portfolio in various stages through appropriate line extensions. The jobholder will support the business head in achieving the budgeted targets and market shares by sustaining high volume brands, developing a strong portfolio of second line brands ensuring higher evolution indices and profitability Principal Tasks & Responsibilities : (Please write all the major jobs that the employee is required to carry out ) Ensuring that the brand gets the highest visibility among the competitors through marketing activity. Scanning the competitor landscape/ environment to identify opportunities for new product launches & line extensions Understand the evolution of the market in the medium and long term Making visual aid and cycle wise and promotional inputs as per brand requirement Providing training to the field staff on a periodic basis Understand the competitor landscape through research data at a macro level and through observation during market visits at a micro level Development of Brand Development Strategy Preparation of marketing mix. Development of Brand positioning/ Product differentiation techniques. Managing Brand life cycle Usage of analytical tools to identify problems and make decisions Customer Segmentation. Development of Promotional inputs Goal Setting & Action plans including setting timelines, milestones, monitoring mechanisms etc Development/ Usage of communication strategy & tools Explore/ Identify potential market segments & new frontiers Liaison with production & supply chain department to ensure availability of stocks as per billing plans Training of sales force for implementation of promotional strategy, USPs etc Review on effectiveness of strategies, tools etc Feedback from internal customers (employees, line managers etc.) Interaction with colleagues (phone calls, personal interaction, meetings etc) Travel to locations to oversee implementation of marketing programs Key customer Development (CRM activities) Interaction & Negotiation with customers directly through customer visits Monitoring of Marketing Information System: Market Size, Growth, Trends for products, therapies Dr Calls, KoL Meeting, Promo tools utilizations, Feedback Competition and market pricing, scheme, market share RoI from Marketing Promotion Activities Co-ordination with Supply Chain through Products Availability, Sample allocation, Complained Products samples replacement. Co-ordination with Purchase of promo-tools from vendors, Communicate specification of items and better cost. Products Query Handling though Timely Replies and feedback to team, customers queries, Co-ordinate with consultants. Product Complaint Handling by Collecting PCR from Sales Team, Co-ordinate between CQA/Sales Team and Ensure timely Replies to them. Cycle Meeting for Marketing Plans presentation to sales team for next cycle and New Launches, Campaigns, New Visual Aids, Promo-tools.

Role: Artificial Intelligence Engineer Location Bangalore (Ashok Nagar) Experience : 3 to 5 years Education : Bachelor's/Masters Degree in Technology. Salary : Negotiable Job Type : Full Time (On Role) Mode of Work : Work from Office J ob Description : We are looking for an experienced AI Engineer to join our team and develop advanced AI solutions. The role involves designing, training, and deploying machine learning models to address complex business challenges. Proficiency in Python, TensorFlow, and experience working with large datasets are critical for success. Preferred Skills: Proficiency in Python and NLP libraries such as OpenAIs GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning techniques Retrieval-Augmented Generation (RAG) for improving AI response Experience in API development and hosting (IIS preferred) Basic understanding of SQL Expertise in training, tuning, deploying, and leveraging models with SQL databases Technical Skills: Proficiency in programming languages such as Python, R, or Java Ability to integrate AI models into existing systems and applications Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering) Experience with deep learning frameworks such as TensorFlow and PyTorch Expertise in data manipulation and cleaning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

About The Role : Batish Technologies is looking for a highly skilled Full Stack AI Developer to join our team The ideal candidate will have strong expertise in frontend (Angular/React), backend (Node.js/Python), cloud platforms (AWS/GCP/Azure), and experience in integrating Generative AI models to build innovative, scalable, and AI-powered web applications. You will work on both the development and deployment of cutting-edge software solutions that leverage AI technologies to improve user experiences and automate processes. Key Responsibilities Frontend Development :Expertise in Angular/React for developing interactive web interfaces. Backend Development :Proficiency in Node.js and Python to build scalable and efficient backend systems. AI Integration :Integrating generative AI models (i.e., GPT, DALL-E) to enhance application features. Microservices and API Design :Developing APIs and microservices with AI capabilities, ensuring security, scalability, and efficiency. Cloud & Containerization :Managing cloud deployments using AWS, GCP, Azure, and Docker. Client Interaction & Collaboration :Communicating technical details with clients and teams, especially in international projects (USA and Australia). Desired Skill Set Frontend Technologies :Angular/React, HTML5, CSS3, JavaScript, AJAX. Backend Technologies :Node.js, Python, RESTful APIs, Express.js, Flask/Django. Generative AI Expertise :Familiarity with AI models such as GPT, DALL-E, and experience with AI frameworks like TensorFlow, PyTorch, OpenAI API, Hugging Face Transformers. Database Management :SQL Server, MongoDB, optimizing complex queries. Cloud & Containerization :AWS, GCP, Azure, Docker. Software Architecture :MVC, Microservices, N-Tier architectures. Additional Skills Must-Have :Twilio (integration for communication services). Good to Have :Deepgram (speech recognition and transcription). Education Required :B.Tech in Computer Science or equivalent qualifications (ref:hirist.tech)

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Location - Noida,Mumbai,Hyderabad,Kochi. Mandatory Key Skills TensorFlow,PyTorch,Scikit-learn,MLOps,Azure Databricks,AWS,GCP,GPT,BERT,Deep Learning,Natural Language Processing,Generative AI,Large Language Models,Machine Learning.

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Mandatory Key Skills TensorFlow,PyTorch,Scikit-learn,MLOps,Azure Databricks,AWS,GCP,GPT,BERT,Deep Learning,Natural Language Processing,Generative AI,Large Language Models,Machine Learning*

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Location - Noida,Mumbai,Hyderabad,Kochi. Mandatory Key Skills TensorFlow,PyTorch,Scikit-learn,MLOps,Azure Databricks,AWS,GCP,GPT,BERT,Deep Learning,Natural Language Processing,Generative AI,Large Language Models,Machine Learning*

HireEazy is looking for Lead EDI Sterling Consultant to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

HireEazy is looking for EDI Sterling Consultant to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

About the job : Zeta Global is looking for an experienced ML Engineer with industry-proven hands-on experience of delivering machine learning models to production to solve business problems. To be a good fit to join our AI/ML team, you should ideally: Be a thought leader that can work with cross-functional partners to foster a data-driven organization. Be a strong team player, have experience contributing to a large project as part of a collaborative team effort. Have extensive knowledge and expertise with machine learning best-practices and industry standards. Be able to design and execute experiments to measure the impact of new features and machine learning models on business outcomes. Empower the product and engineering teams to make data-driven decisions. What you need to succeed 46 years of proven, hands-on industry experience as a Machine Learning Engineer. Strong command of Python and SQL; experience with distributed computing frameworks like Spark or Hadoop is a significant plus. A bachelors degree in computer science, Mathematics, Physics, Statistics, Operations Research, or a related field is preferred. Solid experience with ML infrastructureincluding model deployment, evaluation, data processing, and debuggingwith a track record of building scalable ML solutions from business requirements. Proficient in Applied LLMs and NLP, with experience developing solutions using frameworks such as Lang Chain, Lang Smith, and backend tools like Fast API. Hands-on experience with LLMs like GPT or Claude is highly desirable. Strong background in building, deploying, and integrating AI agents using LLMs is a big plus. Comfortable with software engineering best practices, including version control, unit/integration testing, and setting up CI/CD pipelines for reliable ML deployment. Committed to high code quality, with an emphasis on thorough code reviews and testing. Excellent communication skills, with the ability to collaborate across technical and non-technical teams and clearly present outcomes to business stakeholders. Our technology runs on the Zeta Marketing Platform, which powers end to end marketing programs for some of the worlds leading brands. With expertise encompassing all digital marketing channels Email, Display, Social, Search and Mobile Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.